Claim Error Detection

Claim Error Detection is a methodological construct in the domain of claims registration that systematically identifies discrepancies, inaccuracies, or inconsistencies within submitted claims by applying validation rules, logical checks, or data integrity assessments to distinguish valid claims from those containing errors.

4

Publications

143

Citations

10

Authors

4

Institutions

Publications per year

2017–2026

3

Authors

10

  1. XZ
    Xia Zeng

    Queen Mary University of London, United Kingdom

    1 publications · 91 citations

    1

    h-index

  2. AZ
    Arkaitz Zubiaga

    Queen Mary University of London, United Kingdom

    1 publications · 91 citations

    1

    h-index

  3. IL
    Irene Larraz

    Clinica Universidad de Navarra, Spain

    1 publications · 13 citations

    1

    h-index

  4. AK
    Ayla Karakaş

    Saudi Heart Association, Saudi Arabia

    1 publications · 19 citations

    1

    h-index

  5. RM
    Rubén Míguez

    Alpha Omega Alpha Medical Honor Society, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 10

Institutions

4

Venues

  1. CLEF (Working Notes)

    1 publications · 19 citations

    1

    h-index

  2. Language and Linguistics Compass

    1 publications · 91 citations

    1

    h-index

  3. El Profesional de la Informacion

    IWE · 1 publications · 13 citations

    1

    h-index

1–3